class_docstr: Computes confidence-related statistics on the held-out validation dataset.
  
  TODO: regression & forecasting tasks
code: def __init__(self, deps=("ICP",), ece_bins: int = 10):
      super().__init__(deps=deps)
      self.ece_bins = ece_bins
      self.ordenc = OrdinalEncoder()
      self.n_decimals = 3
  
file_path: lightwood/lightwood/analysis/helpers/conf_stats.py
imports: from copy import deepcopy
  from typing import Dict
  from types import SimpleNamespace
  from sklearn.preprocessing import OrdinalEncoder
  from lightwood.analysis.base import BaseAnalysisBlock
label_desc: Use image node_id 1 to create a new ConfStats object from inherited base classes: BaseAnalysisBlock with example: obj = ConfStats(deps, ece_bins)